Work

RadImageGAN – A Multi-modal Dataset-Scale Generative AI for Medical Imaging

Year: 2025

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-82007-6_17

Authors: Zelong Liu, Peyton Smith, Alexander Lautin, Jieshen Zhou, Maxwell Yoo, Mikey Sullivan, Haorun Li, Louisa Deyer, Alexander Zhou, Arnold Yang, Alara Yimaz, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei

Institutions: Icahn School of Medicine at Mount Sinai, Nvidia (United States), Weill Cornell Medicine

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Center for Advancing Translational Sciences

Award: J: NRSA Training Core

OpenAlex ID: W4407262511

FWCI: 2.413

Cites: 50

Cited by: 9

Related to: 10